unmarked: Models for Data from Unmarked Animals

Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates.

Version: 1.0.0
Depends: R (≥ 2.12.0), methods, lattice
Imports: graphics, stats, utils, parallel, plyr, raster, Matrix, MASS, Rcpp (≥ 0.8.0)
LinkingTo: Rcpp, RcppArmadillo
Published: 2020-05-04
Author: Richard Chandler [aut], Ken Kellner [aut], Ian Fiske [aut], David Miller [aut], Andy Royle [cre, aut], Jeff Hostetler [aut], Rebecca Hutchinson [aut], Adam Smith [aut], Marc Kery [ctb], Mike Meredith [ctb], Auriel Fournier [ctb], Ariel Muldoon [ctb], Chris Baker [ctb]
Maintainer: Andy Royle <aroyle at usgs.gov>
BugReports: https://github.com/rbchan/unmarked/issues
License: GPL (≥ 3)
URL: http://groups.google.com/group/unmarked, https://sites.google.com/site/unmarkedinfo/home, http://github.com/ianfiske/unmarked, http://github.com/rbchan/unmarked
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: unmarked citation info
Materials: NEWS
In views: Environmetrics
CRAN checks: unmarked results

Downloads:

Reference manual: unmarked.pdf
Vignettes: Capture-recapture
Dynamic occupancy models
Distance sampling analysis
Species distributions
Overview of unmarked
Package source: unmarked_1.0.0.tar.gz
Windows binaries: r-devel: unmarked_1.0.0.zip, r-release: unmarked_1.0.0.zip, r-oldrel: unmarked_1.0.0.zip
macOS binaries: r-release: unmarked_1.0.0.tgz, r-oldrel: unmarked_1.0.0.tgz
Old sources: unmarked archive

Reverse dependencies:

Reverse depends: AHMbook, DiversityOccupancy
Reverse imports: AICcmodavg, AMModels, nmixgof
Reverse suggests: auk, camtrapR
Reverse enhances: MuMIn

Linking:

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